Ever heard of neuromorphic cameras? They are bio-inspired sensors that mimic the transient visual pathway. These cameras do not acquire pictures or full images as a normal video camera. Instead, they sense only intensity changes at every pixel as they occur with microsecond resolution (called “events” or “spikes”). These cameras offer many advantages compared to
Do genetically identical individuals living in the same environment develop identical behaviors? And what role does individuality play in shaping the collective behavior of a flock of birds or a school of fish? In this talk, David Bierbach will present results from fascinating experiments with a clonal fish, the Amazon molly (Poecilia formosa), to test whether near-identical
A live discussion of Alex Kacelnik (Biologist, U Oxford) and Marc Toussaint (AI Roboticist, TU Berlin) on key problems in studying intelligence in both animals and AI systems. Please register on the BSW website here
Scientists Pawel Romanczuk and Ralf Kurvers will explore swarm intelligence in fish and humans, investigating the role of single individuals and social interactions in collective decisions, also exploring when collectives make good decisions, and when they go wrong. In this talk, David Bierbach will present results from fascinating experiments with a clonal fish, the Amazon
From French photographers, Austrian naturalists and English adventurers – all have been equally fascinated by the way we are affected by, and interact with our surroundings. It is the intricate interplay between self and others, known and unknown, present and future that makes behaviour so hard to grasp and exciting to study. Ethology, the study
As part of the events linked to the exhibition Nach der Natur at the Humboldt Forum, on 25 November at 7pm cluster members Jens Krause, Lea Musiolek, and Pawel Romanczuk will take part in an exciting discussion on the meaning, the study, and the challenges of collective intelligence, bringing great examples and fascinating materials. How
Abstract: Models of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy, and predict brain activity in high-level visual regions. However, most networks require supervised training using ground-truth labels for millions of images, whereas brains must somehow learn from sensory experience alone. We have been using
Breaking new ground: innovation in birds, primates and human infants Novel behaviors that suddenly appear either as a solution to a new problem or as an alternative way to solve an existing problem allow humans and animals to deal with environmental challenges and to create new opportunities. They are thus key ingredients for developing advanced problem-solving abilities. In order
Abstract: Choice architecture suggests that much of what we decide is influenced by that options are presented. This means that the choice environment can encode intelligence that will help (or can hurt) the decision maker. The talk will start by reviewing some results from choice architecture and describe how the environment can affect choice through
Postponed to a later date (to be assessed) More info coming soon!
Abstract: Like most of our technologies today, AI dramatically increases the world's carbon footprint, thereby strengthening the severity of the coming downfall of life on the planet. In this talk, I propose that recent advances in large dimensional mathematics, and especially random matrices, could help AI engage in the future economic growth. This being said,
Abstract: Bees have a diverse instinctual repertoire that exceeds in complexity that of most vertebrates. This repertoire allows the social organisation of such feats as the construction of precisely hexagonal honeycombs, an exact climate control system inside their home, the provision of the hive with commodities that must be harvested over a large territory (nectar,
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